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Principal/Staff/Senior Machine Learning Engineer (9278)

Ontario, Canada (Hybrid)

Principal/Staff/Senior Machine Learning Engineer (9278)

3 Months ago • 5-7 Years • Artificial Intelligence

About the job

10 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

deep-learning

data-structures

python

pytorch

scikit-learn

data-science

iterative-process

networking

Job Description

Extreme Networks seeks a Machine Learning Scientist with 5+ years of experience to develop models for network optimization, prediction, and troubleshooting. Expertise in Graph ML, Classic ML, Deep Learning, Causality, and Optimization techniques is essential. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, and Dask is required.

Must have:

Machine Learning
Graph ML
Deep Learning
Python Expertise

Good to have:

Distributed ML
Dask Experience
Data Modeling
TensorFlow/PyTorch

Perks:

Global Leader
Cutting Edge

Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT!

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme.

We believe in “walking the walk” of our strong core values which enable us to successfully advance together. Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive.

Come become part of something big with us! We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East.

Introduction:

Extreme Networks is on the cutting edge of technology, pushing boundaries and creating revolutionary networking experiences. We are seeking a versatile and innovative Machine Learning Scientist to join our Core Modelling Team. The successful candidate will work on ground-breaking projects aiming to optimize network planning, design, security, operations, and support through real-time event detection, future occurrence prediction, scenario planning, and configuration optimization.

Responsibilities

Developing innovative machine learning models for network optimization, prediction, and troubleshooting.
Applying expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques.
Develop and utilize mathematical models to solve complex network problems.
Conducting research to develop models and validate their feasibility, performance, and relevance.
Ensuring interpretability and usability of the models for network optimization and troubleshooting.
Transform validated models into modular features, ensuring they meet the set engineering criteria
Participating in the iterative process of model development, including framing problems, developing hypotheses, designing and conducting experiments, and synthesizing findings.
Develop and execute automated tests to ensure the quality, functionality, and compatibility of new features.
Work closely with the Engineering Team to address any issues or concerns during the integration process.
Communicating the progress, challenges, and needs during the model development process to the Engineering Program Manager.

Qualifications:

5+ years of proven experience as a Data Scientist, Machine Learning Developer or similar role. At least 2 years of experience building ML Systems.
PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Solid understanding of machine learning principles, algorithms, and applications.
Expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques.
Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Dask.
Experience with distributed machine learning and proficiency in using Dask for parallel computing.
Excellent understanding of data structures, data modeling.
Excellent problem-solving skills, attention to detail, and ability to work in a team-oriented environment.
Strong communication skills to effectively collaborate with team members and report to management.

We are looking for a Machine Learning Scientist who is passionate about pushing the boundaries of what is possible. If you're driven by curiosity, love problem-solving, and want to make a significant impact on a revolutionary project, we'd love to hear from you.

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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